| Key | Action |
|---|---|
| s | Nodes glow :D |
| c | remove glow |
| p | Print mode - white backgrounds |
| d | Display mode - black backgrounds |
| z | Turn off gravity |
| m | Spacious layout |
| e | Tight layout |
| f | Freeze layout |
| x | Unfreeze all nodes |
[6]
48
adaptive
PyclusteringXMeans(initial_centers=[array([46. , 9. , 0.05627199, 0.07268465, 0.8475967 ,
0.42320819, 0.41085271, 0.58914729, 0.49512438, 9. ,
46. , 0.0984079 , 0.11628872, 0.5519128 , 0.06492875]),
array([1.40000000e+01, 4.20000000e+01, 4.52708890e-02, 7.70412230e-01,
3.79951480e-02, 3.02631579e-01, 1.00671141e-01, 8.99328859e-01,
3.91372318e-01, 4.20000000e+01, 1.40000000e+01, 6.45120598e-01,
7.96723400e-03, 4.29323405e-01, 2.27614940e-02])])
None
1
611
1504
5173
2056
precinct, ward, HVAP_pct, WVAP_pct, BVAP_pct, EMAN_G15_pct, RO_GARCIA_G15_pct, RO_EMAN_G15_pct, normalized_log_area, WARD, PRECINCT, normalized_centroid_y, uninsured_pct, female_pct, veteran_pct
mean